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MATH 483 - Design and Analysis of Experiments

Course Description: 

Review of elementary probability and statistics; analysis of variance for design of experiments; estimation of parameters; confidence intervals for various linear combinations of the parameters; selection of sample sizes; various plots of residuals; block designs; Latin squares; one, two, and 2^k factorial designs; nested and cross factor designs; regression; nonparametric techniques.

Credit: 

(3-0-3)

Prerequisite: 

[(MATH 476 with min. grade of D)]

Corequisite: 

None